Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
|
@@ -69,26 +69,22 @@ print("Available attributes in FLUX pipeline:", pipe.__dict__.keys())
|
|
| 69 |
pipe_upscale = FluxControlNetPipeline(
|
| 70 |
vae=pipe.vae,
|
| 71 |
text_encoder=pipe.text_encoder,
|
|
|
|
| 72 |
tokenizer=pipe.tokenizer,
|
|
|
|
| 73 |
transformer=pipe.transformer,
|
| 74 |
scheduler=pipe.scheduler,
|
| 75 |
controlnet=controlnet
|
| 76 |
)
|
| 77 |
|
| 78 |
-
#
|
| 79 |
-
if hasattr(pipe, '
|
| 80 |
-
pipe_upscale.
|
| 81 |
-
|
| 82 |
-
# 모든 파이프라인을 device로 이동
|
| 83 |
-
pipe_upscale.to(device)
|
| 84 |
|
| 85 |
# 모든 파이프라인을 device로 이동
|
| 86 |
-
pipe_i2i.to(device)
|
| 87 |
-
controlnet.to(device)
|
| 88 |
pipe_upscale.to(device)
|
| 89 |
|
| 90 |
|
| 91 |
-
|
| 92 |
MAX_SEED = 2**32 - 1
|
| 93 |
MAX_PIXEL_BUDGET = 1024 * 1024
|
| 94 |
|
|
|
|
| 69 |
pipe_upscale = FluxControlNetPipeline(
|
| 70 |
vae=pipe.vae,
|
| 71 |
text_encoder=pipe.text_encoder,
|
| 72 |
+
text_encoder_2=pipe.text_encoder_2,
|
| 73 |
tokenizer=pipe.tokenizer,
|
| 74 |
+
tokenizer_2=pipe.tokenizer_2,
|
| 75 |
transformer=pipe.transformer,
|
| 76 |
scheduler=pipe.scheduler,
|
| 77 |
controlnet=controlnet
|
| 78 |
)
|
| 79 |
|
| 80 |
+
# 추가 속성 설정 (있는 경우에만)
|
| 81 |
+
if hasattr(pipe, 'image_processor'):
|
| 82 |
+
pipe_upscale.image_processor = pipe.image_processor
|
|
|
|
|
|
|
|
|
|
| 83 |
|
| 84 |
# 모든 파이프라인을 device로 이동
|
|
|
|
|
|
|
| 85 |
pipe_upscale.to(device)
|
| 86 |
|
| 87 |
|
|
|
|
| 88 |
MAX_SEED = 2**32 - 1
|
| 89 |
MAX_PIXEL_BUDGET = 1024 * 1024
|
| 90 |
|